Orphanet Journal of Rare Diseases (May 2023)

A systematic overview of rare disease patient registries: challenges in design, quality management, and maintenance

  • Isabel C. Hageman,
  • Iris A.L.M. van Rooij,
  • Ivo de Blaauw,
  • Misel Trajanovska,
  • Sebastian K. King

DOI
https://doi.org/10.1186/s13023-023-02719-0
Journal volume & issue
Vol. 18, no. 1
pp. 1 – 11

Abstract

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Abstract Patient registries serve to overcome the research limitations inherent in the study of rare diseases, where patient numbers are typically small. Despite the value of real-world data collected through registries, adequate design and maintenance are integral to data quality. We aimed to describe an overview of the challenges in design, quality management, and maintenance of rare disease registries. A systematic search of English articles was conducted in PubMed, Ovid Medline/Embase, and Cochrane Library. Search terms included “rare diseases, patient registries, common data elements, quality, hospital information systems, and datasets”. Inclusion criteria were any manuscript type focused upon rare disease patient registries describing design, quality monitoring or maintenance. Biobanks and drug surveillances were excluded. A total of 37 articles, published between 2001 and 2021, met the inclusion criteria. Patient registries covered a wide range of disease areas and covered multiple geographical locations, with a predisposition for Europe. Most articles were methodological reports and described the design and setup of a registry. Most registries recruited clinical patients (92%) with informed consent (81%) and protected the collected data (76%). Whilst the majority (57%) collected patient-reported outcome measures, only few (38%) consulted PAGs during the registry design process. Few reports described details regarding quality management (51%) and maintenance (46%). Rare disease patient registries are valuable for research and evaluation of clinical care, and an increasing number have emerged. However, registries need to be continuously evaluated for data quality and long-term sustainability to remain relevant for future use.

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